摘要
由计算模型产生多通道神经信号,可帮助理解引起脑电信号节律的机制,研究大脑的功能联接以及测试神经信息处理的方法和假设.本文将双动力学集总参数神经群模型扩展为多动力学多通道耦合的模型,用于研究大脑不同区域的耦合动力学行为.通过模型仿真发现信号的频谱可以从δ波(1-4Hz)到γ波(30-70Hz)变化,其动力学特性更加复杂;模型实验还揭示了神经网络耦合和神经群节律之间的关系,随耦合强度的增强,新模型仿真信号会出现双谱峰和单谱峰的现象;通过模拟大鼠癫痫,也证实神经群之间的耦合可以导致癫痫大范围爆发.
Multi-channel neural signals generated by a computational model can help understand the mechanism of EEG rhythms,analyze brain functional connectivity and evaluate neural signal processing methods.In this study,a two-kinetics lumped-parameter neural mass model is extended to a multi-kinetics and multi-channel coupled model.This new model can effectively simulate the coupled dynamics activities between different areas in the brain.The simulation results show that the proposed model can generate neural signals with various frequency bands,from delta wave （1-4 Hz） to gamma wave （30-70 Hz）,and the dynamics of the simulated neural signals is more complicated.The simulation analysis can also reveal the relationship between the coupled neural networks and the rhythm of neural populations,and the simulated neural signals can present the bi-modal and uni-modal phenomenon in the frequency domain when the coupling strength of models increases.Finally,analysis of an epileptic EEG signal from a rat demonstrates that the coupling among the neural populations can induce a large-scale seizure.
出处
《中国科学：信息科学》
CSCD
2011年第8期978-988,共11页
Scientia Sinica(Informationis)
基金
国家自然科学基金(批准号:90820016)
新世纪优秀人才支持计划(批准号:NECT-07-0735)
河北省杰出青年科学基金(批准号:F2009001638)资助项目
关键词
多通道神经群模型
耦合
频谱
同步
癫痫
multi-channel neural mass model
coupling
spectrum
synchronization
epilepsy
